Scientists argue for a new model of language, involving the interaction of multiple brain networks. This model is much more complex than the classical neurobiological model of language, which was ...

Sentences with greater linguistic complexity are most likely to fire up a key brain language processing center, according to a study that employed an artificial language network. With help from an ...

Over the past few decades, roboticists worldwide have introduced increasingly advanced robots that can understand human ...

A new study uses deep linear networks to prove that language undergoes iterated learning to become structured and learnable.

In a first-of-its-kind finding, researchers at University of Iowa Health Care discovered that specific genetic sequences have an outsized impact on humans’ language abilities and that these sequences ...

Researchers at the University of California, Berkeley took on the complex task of mapping meaning along the cerebral cortex, the thin membrane that stretches across the entire brain, and their results ...

Complex networks offer a robust framework for understanding language and text as emergent, multi-level systems. Using graph theory, researchers represent words, punctuation, and semantic units as ...